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目录1 应用场景2 操作步骤2.1 停止 Worker 节点调度2.2 驱逐 Worker 节点上的工作负载2.3 停止 Docker、Kubelet 等服务2.4 恢复 Worker 节点2.5 允许 Worker 节点调度总结
1 应用场景
场景:
在实际工作中,可能某个 Worker 节点需要维护迁移,我们需要平滑的停止、启动该节点应尽量减少启停中对集群、业务造成的影响注意:
剔除 Worker 节点操作中该 Worker 节点上的工作负载(Pod)将被驱逐到其他节点上请确保集群资源充足2 操作步骤
2.1 停止 Worker 节点调度
# 查看信息 root@sh-gpu091:~# kubectl get node NAME STATUS ROLES AGE VERSION 172.19.13.31 Ready node 403d v1.14.1 sh-cpu032.aibee.cn Ready node 403d v1.14.1 sh-cpu033.aibee.cn Ready node 403d v1.14.1 sh-gpu091.aibee.cn Ready node 403d v1.14.1 sh-gpu101.aibee.cn Ready node 403d v1.14.1 # 停止 Worker 节点调度 root@sh-gpu091:~# kubectl cordon sh-gpu101.aibee.cn node/sh-gpu101.aibee.cn cordoned 查看节点状态 root@sh-gpu091:~# kubectl get node NAME STATUS ROLES AGE VERSION 172.19.13.31 Ready node 403d v1.14.1 sh-cpu032.aibee.cn Ready node 403d v1.14.1 sh-cpu033.aibee.cn Ready node 403d v1.14.1 sh-gpu091.aibee.cn Ready node 403d v1.14.1 sh-gpu101.aibee.cn Ready,SchedulingDisabled node 403d v1.14.12.2 驱逐 Worker 节点上的工作负载
# –ignore-daemonsets 驱逐 pod 时忽略 daemonset # –delete-local-data 驱逐 pod 时删除 pod 的临时数据,该参数不会删除持久化数据 root@sh-gpu091:~# kubectl drain sh-gpu101.aibee.cn –delete-local-data –ignore-daemonsets –force node/sh-gpu101.aibee.cn already cordoned WARNING: ignoring DaemonSet-managed Pods: cattle-system/cattle-node-agent-8wcvs, kube-system/kube-flannel-ds-kqzhc, kube-system/nvidia-device-plugin-daemonset-rr2lf, monitoring/prometheus-node-exporter-xtbxp evicting pod “model-server-0” evicting pod “singleview-proxy-client-pbdownloader-0” evicting pod “singleview-proxy-service-0” pod/singleview-proxy-client-pbdownloader-0 evicted pod/singleview-proxy-service-0 evicted pod/model-server-0 evicted node/sh-gpu101.aibee.cn evicted2.3 停止 Docker、Kubelet 等服务
systemctl stop kubelet systemctl stop docker 查看节点上是否还有业务 pod kubectl get pod -A -o wide |grep sh-gpu101.aibee.cn 如果不需要恢复了,可以删除节点并确认节点信息 root@sh-gpu091:~# kubectl delete node sh-gpu101.aibee.cn node “sh-gpu101.aibee.cn” deleted root@sh-gpu091:~# kubectl get node NAME STATUS ROLES AGE VERSION 172.19.13.31 Ready node 403d v1.14.1 sh-cpu032.aibee.cn Ready node 403d v1.14.1 sh-cpu033.aibee.cn Ready node 403d v1.14.1 sh-gpu091.aibee.cn Ready node 403d v1.14.1 root@sh-gpu091:~#2.4 恢复 Worker 节点
systemctl start docker systemctl status docker systemctl start kubelet systemctl status kubelet2.5 允许 Worker 节点调度
# 取消不可调度 kubectl uncordon sh-gpu101.aibee.cn总结
以上为个人经验,希望能给大家一个参考,也希望大家多多支持。
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